Antonino Freno

According to our database, Antonino Freno authored at least 17 papers between 2007 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

Dynamic Hybrid Random Fields for the Probabilistic Graphical Modeling of Sequential Data: Definitions, Algorithms, and an Application to Bioinformatics.

Marco Bongini, Antonino Freno, Vincenzo Laveglia, Edmondo Trentin

Neural Process. Lett., 2018

Clothing Recommendations: The Zalando Case.

Antonino Freno

Proceedings of the Collaborative Recommendations, 2018

2017

Practical Lessons from Developing a Large-Scale Recommender System at Zalando.

Antonino Freno

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

2015

Techniques for dealing with incomplete data: a tutorial and survey.

Marco Aste, Massimo Boninsegna, Antonino Freno, Edmondo Trentin

Pattern Anal. Appl., 2015

One-Pass Ranking Models for Low-Latency Product Recommendations.

Antonino Freno, Martin Saveski, Rodolphe Jenatton, Cédric Archambeau

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2012

Semiparametric Pseudo-Likelihood Estimation in Markov Random Fields.

Antonino Freno

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Spectral Estimation of Conditional Random Graph Models for Large-Scale Network Data.

Antonino Freno, Mikaela Keller, Gemma C. Garriga, Marc Tommasi

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Fiedler Random Fields: A Large-Scale Spectral Approach to Statistical Network Modeling.

Antonino Freno, Mikaela Keller, Marc Tommasi

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Hybrid Random Fields - A Scalable Approach to Structure and Parameter Learning in Probabilistic Graphical Models

Antonino Freno, Edmondo Trentin

Intelligent Systems Reference Library 15, Springer, ISBN: 978-3-642-20307-7, 2011

Learning to Rank Using Markov Random Fields.

Antonino Freno, Tiziano Papini, Michelangelo Diligenti

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010

Kernel-Based Hybrid Random Fields for Nonparametric Density Estimation.

Antonino Freno, Edmondo Trentin, Marco Gori

Proceedings of the ECAI 2010, 2010

2009

Probabilistic Interpretation of Neural Networks for the Classification of Vectors, Sequences and Graphs.

Edmondo Trentin, Antonino Freno

Proceedings of the Innovations in Neural Information Paradigms and Applications, 2009

A hybrid random field model for scalable statistical learning.

Antonino Freno, Edmondo Trentin, Marco Gori

Neural Networks, 2009

Scalable pseudo-likelihood estimation in hybrid random fields.

Antonino Freno, Edmondo Trentin, Marco Gori

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Unsupervised nonparametric density estimation: A neural network approach.

Edmondo Trentin, Antonino Freno

Proceedings of the International Joint Conference on Neural Networks, 2009

Scalable statistical learning: A modular bayesian/markov network approach.

Antonino Freno, Edmondo Trentin, Marco Gori

Proceedings of the International Joint Conference on Neural Networks, 2009

2007

Selecting Features by Learning Markov Blankets.

Antonino Freno

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007